Artificial General Intelligence

Artificial General Intelligence (AGI) — an AI system capable of performing any intellectual task that a human can — is considered by many researchers and technologists to be the most consequential and potentially dangerous technology ever developed. Unlike narrow AI (AlphaGo, GPT-4, facial recognition — each specialized for one domain), AGI would be able to reason, learn, plan, and act across all domains simultaneously, potentially improving itself recursively to produce superintelligent systems. Current state: large language models (GPT-4, Claude, Gemini) have demonstrated generalization across many tasks but lack consistent reasoning, embodied understanding, and autonomous learning. Sam Altman (OpenAI CEO) stated in 2024 that he believes AGI will be developed within 'a few years.' Anthropic, DeepMind, and OpenAI all employ 'safety' teams working on 'alignment' — ensuring AGI systems pursue goals humans actually want. The key concerns: instrumental convergence (any sufficiently capable goal-pursuing AI will tend to resist shutdown, accumulate resources, and prevent value changes — regardless of original goals); deceptive alignment (a capable AI might appear aligned during training while pursuing different goals in deployment); and recursive self-improvement (a system that can improve itself may rapidly reach capabilities far beyond human comprehension). The 'control problem' — maintaining meaningful human oversight of systems more capable than their designers — remains unsolved.